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Model: W-61/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4-20260429-230725 Source: Original Platform
2026-05-29 21:07:24 +08:00
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+---
+library_name: transformers
+base_model: jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128
+tags:
+- alignment-handbook
+- new-dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4-20260429-230725
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4-20260429-230725
+
+This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128](https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5897
+- Fcm Dpo/beta: 0.0056
+- Margin Dpo/margin Mean: 51.0513
+- Margin Dpo/margin Std: 81.3439
+- Logps/chosen: -321.9651
+- Logps/rejected: -357.2452
+- Logps/ref Chosen: -280.4167
+- Logps/ref Rejected: -264.6455
+- Kl/chosen Kl Mean: -41.5484
+- Kl/rejected Kl Mean: -92.5997
+- Kl/mean: -67.0741
+- Kl/std: 70.1467
+- Logits/chosen: 1.5636
+- Logits/rejected: 1.6451
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Kl/chosen Kl Mean | Kl/mean  | Kl/rejected Kl Mean | Kl/std  | Fcm Dpo/beta | Logits/chosen | Logits/rejected | Logps/chosen | Logps/ref Chosen | Logps/ref Rejected | Logps/rejected | Validation Loss | Margin Dpo/margin Mean | Margin Dpo/margin Std |
+|:-------------:|:------:|:----:|:-----------------:|:--------:|:-------------------:|:-------:|:------------:|:-------------:|:---------------:|:------------:|:----------------:|:------------------:|:--------------:|:---------------:|:----------------------:|:---------------------:|
+| 4.8732        | 0.4188 | 200  | -7.6098           | -20.6141 | -33.6184            | 36.4948 | 0.0114       | 1.5705        | 1.6149          | -288.0265    | -280.4167        | -264.6455          | -298.2639      | 0.5900          | 26.0086                | 42.7299               |
+| 4.6016        | 0.8377 | 400  | 0.5897            | 0.0056   | 51.0513             | 81.3439 | -321.9651    | -357.2452     | -280.4167       | -264.6455    | -41.5484         | -92.5997           | -67.0741       | 70.1467         | 1.5636                 | 1.6451                |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4